Multiple transform domain based super-resolution reconstruction method

Abstract

The invention relates to a multiple transform domain based super-resolution reconstruction method and belongs to the technical field of image super-resolution. The method comprises the following steps: performing nonrelated transform domain analysis on K input low-resolution images separately; according to the sizes of a target super-resolution image and the input low-resolution images, determining a down-sampling matrix D; and reconstructing the super-resolution image by adopting an optimization algorithm for L1-norm minimization in multiple transform domains through the constraint of a cost function min lambda1||W1(z1)||1+lambda2||W2(z2)||2+......+lambdaj||Wj(zj)||1 by z=z1+z2+...+zj and ||DHiMiz-gi||2<=ni (i=1,2,...K). Compared with the prior art, the method solves the problem in selection of a priori probability model in super-resolution reconstruction, namely, multiple transform domain based remote sensing image sparsity expression; and meanwhile, the method solves the problems of irregular geometric distortion and dislocation of low-resolution remote sensing images caused by load platform shake and atmospheric disturbance, and reconstructs the super-resolution image with a good effect.

Description

technical field [0001] The present invention relates to a super-resolution reconstruction method, in particular to a super-resolution reconstruction method based on multiple transformation domains, that is, to reconstruct a high-resolution image by using multi-temporal low-resolution images of the same scene in a post-processing manner The method belongs to the technical field of image super-resolution. Background technique [0002] High-resolution imaging is of great significance to many aspects such as remote sensing, military affairs, astronomy, and biomedicine. The human pursuit of high-resolution images has never stopped. Due to the limitations of imaging equipment in theory and objective conditions, the spatial resolution of imaging often encounters bottlenecks. For example, when other conditions remain unchanged, the most direct way to improve resolution is to increase the density of CCD or CMOS, that is, to reduce the size of each photosensitive unit. However, when ...

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Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies in the prior art and provide a super-resolution reconstruction method based on multiple transform domains. This method utilizes the reconstruction method of compressed sensing to solve the super-resolution reconstruction problem, so as to overcome the problems of existing remote sensing images. Blurring, imprecise, and distortion issues

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